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Field
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. These demonstrators will have strong potential for high-profile publications, commercialisation, and/or dissemination as open-source designs. The ideal candidate might be from an academic (e.g. PhD/Postdoc in a related
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have submitted their PhD thesis. Applications within three years of obtaining a doctorate will be considered. In duly justified cases, applications falling outside this criterium may also be considered
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an impressive and well-rounded profile. The post will be 24 months in the first instance, whilst a renewal of the contract is possible. About You You should have a PhD (or close to completion) in the area of
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, and other project-related activities as required. Job Requirements: PhD qualification in Human-Computer Interaction, Cognitive Science, Human Factors, Air Traffic Management, Transport, or other related
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. · Other related duties as assigned. EDUCATION & EXPERIENCE Minimum Qualifications: Ph.D. in Biomedical Informatics, Computer Science, Data Science, Electrical & Computer Engineering, Applied Mathematics
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and supervise students in research projects Contribute to the development of grant proposals Provide general support for lab activities Job Requirements: PhD degree in Electrical Engineering, Computer
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, their fabrication and characterisation in order to be translated to industry with our partners. This includes laboratory experimentation, critical evaluation and interpretation, computer-based theoretical modelling
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Participation Program at the U.S. Department of War . Qualifications The qualified candidate will be a current faculty member at an accredited institution of higher education and possess a PhD in Public Health
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operation of research lab equipment and robotic systems. Job Requirements: PhD degree with at least 3 first-author papers in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep